We evaluate the ZSD performance of the baseline and our proposed method based on single bounding box per image provided in CUB dataset [1]}. Table REF  describes the performance comparison between the baseline and our basic method. Our overall loss (\(L_{cls}\) ) based method outperforms the baseline in the different network and semantic settings. Note that, we do not define any meta-class for the CUB classes. Therefore, we use \(\lambda = 1\)  for CUB related experiments.
